Data Scientist Analytics & Experimentation Interview Questions
Practice 895 real Analytics & Experimentation interview questions for Data Scientist roles. From companies including Meta, Capital One, DoorDash, Uber, TikTok.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Design experiments for payments, search, and promotions
This question evaluates a data scientist's skills in product experimentation, causal inference, metric selection, and marketplace impact analysis acro...
Compute diff-in-diff and pretrend flag
This question evaluates understanding of difference-in-differences estimation, simple pretrend detection, and related data-processing competencies for...
How should Uber evaluate lower ETA?
This question evaluates competency in metrics design, causal inference, and experiment strategy for two-sided marketplaces, including detecting and ad...
How would you evaluate UberEats growth?
This question evaluates product analytics, experimentation design, and causal inference competencies in the context of a food-delivery marketplace, em...
Investigate MAU Drop and Test Coupons
This question evaluates a data scientist's competency in product analytics, causal inference, experimentation design, metric decomposition, user segme...
Evaluate business value of lower ETA
This question evaluates experimental design, causal inference, metric definition, statistical interpretation, and marketplace analytics in the context...
Investigate LA Completed Orders Decline
This question evaluates a data scientist's skills in product analytics, causal inference, metric decomposition, anomaly investigation, and experimenta...
How to measure product success?
You are asked to evaluate whether a product or newly launched feature is successful. Describe how you would define success from a data science and pro...
Design an Uber feature and analyze safety
You are interviewing for a Data Scientist summer internship at a ride-sharing marketplace. Part A: Product case Uber wants ideas for a new rider-facin...
Define and estimate prevalence of unhealthy users
This question evaluates a data scientist's ability to operationalize an "unhealthy user" metric and compute its prevalence from session duration and d...
Design a fraud mitigation strategy under constraints
You are given a one-page case during a hiring manager round for a Fraud Data Scientist role. Current state: - The existing fraud model is performing p...
[Analytical Reasoning] Comparing Two Newsfeed Ad Insertion Methods
Compare two ad-insertion methods for a 100-post newsfeed. Both methods have the same average ad load. - Method A: each post is independently replaced ...
Estimate Venmo Revenue and Boost User Engagement Metrics
Estimate Venmo Revenue and Boost User Engagement Metrics Growth and Monetization Case: Venmo (Peer-to-Peer Payments) Context You are evaluating growth...
Evaluate New Model's Impact on Rider and Driver Experience
Evaluate New Model's Impact on Rider and Driver Experience Airport Pickups ETA Model: Evaluation and Experiment Design Context A new model predicts ri...
Improve Estimated Time of Arrival for Uber Riders
Improve Estimated Time of Arrival for Uber Riders Scenario Ride-hailing platform: understanding and improving the Estimated Time of Arrival (ETA) show...
Quantify Latent Demand for Group Video Calling Feature
Quantify Latent Demand for Group Video Calling Feature Scenario A consumer messaging app is preparing to launch group video calling. You have access t...
Design Experiments to Measure Promotion Scheduling Impact
Design Experiments to Measure Promotion Scheduling Impact Scenario A food delivery marketplace is releasing flexible promotion scheduling (e.g., time-...
Analyze Key Metrics for Notification System Success
Analyze Key Metrics for Notification System Success Scenario You are evaluating a new push-notification system for a social app. The goal is to determ...
Design a Controlled TV-Advertising Experiment for Sign-Ups
Design a Controlled TV-Advertising Experiment for Sign-Ups Controlled TV Advertising Experiment: Incremental Website Sign-ups Context You are asked to...
Calculate Break-even for New Credit Card Product Launch
Calculate Break-even for New Credit Card Product Launch Break-Even for a Credit Card with Annual Fee, Interchange, and Cashback Context You are evalua...